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and interpret research findings and results from existing data Collect pilot data and demonstrate proof of concept for new methods Main Duties The responsibilities may include some but not all
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Imperial College London invites applications for the following two positions: Assistant Professor in Health Data Analytics Assistant Professor in Environmental Epidemiology and Data Science This is
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the protocols used to control and communicate sensitive patient information, all the way up to interventional devices and systems for personalised healthcare. We are particularly looking for an IC
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administration across the student lifecycle. You will ensure high-quality services for students and effective support for colleagues, with particular responsibility for on-course processes, student data integrity
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Agri-Food and Biosciences Institute (AFBI); | Belfast, Northern Ireland | United Kingdom | 29 days ago
required. Further permanent and fixed term appointments may be made from this competition should AFBI positions become vacant which have similar duties and responsibilities. For more detailed information and
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’, and to several ML-based projects at the British Antarctic Survey (BAS). There are also strong connections to the Institute for Data and Artificial Intelligence (IDAI) at UoB. Role Summary Implement and
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) data Genetic epidemiology and Mendelian randomisation studies (with support from senior scientists) Undertake meta-analyses. Conduct meta-analyses in R or Python across a range of cardiometabolic topics
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will have hands-on experience in research teams, scholarly publications, conference presentations, and robust coding practices including version control and reproducible data pipelines. Proficiency in
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interdisciplinary team has a wide range of skills and provides platforms and services for reproducible computational research that covers the entire data analysis lifecycle. You will collaborate with the team
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, integrated budgeting, and resource allocation aligned to strategic goals Forecasting & Financial Analysis: Ability to conduct philanthropic scenario planning and analysis to provide data-driven recommendations